Toward AI Implementation of a Three-Axis Model: Procedure, Outcome, and Order as Evaluative Structure

This technical note develops a design framework for AI implementation of a three-axis model of evaluation: Procedure, Outcome, and Order. Its purpose is not to automate final judgement, but to formalise evaluative structure and make visible the weighting assumptions through which texts, events, and institutional responses are assessed. The note argues that disagreement in conflict and policy analysis often arises not from facts alone, but from different distributions of attention across procedural legitimacy, material effect, and long-horizon order. On that basis, it outlines a system design memo, prompt architecture, scoring rubric, and sample outputs for practical use. It further extends the model towards practical deployment through cumulative analysis across time windows, cross-source comparison, visual presentation of evaluative structure, and input-stage reliability filters. The central claim is that AI should function here not as a verdict machine, but as a structured aid for exposing evaluative composition, hidden priors, and alternative weighting regimes.